Senior Cloud Software Engineer, Backend – AI

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🕒 June 6

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tekkminds

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

tekkminds is a technology consultancy that develops cloud-native software and integrates artificial intelligence to help businesses modernize their IT and automate processes. They offer cloud consulting and engineering (AWS, Microsoft Azure), hands-on AWS training, AI integration and custom model development (cloud and on-premises), full-stack software engineering with DevOps/CI-CD practices, and IoT capabilities. TekkMinds focuses on long-term B2B partnerships, delivering scalable, secure, and tailored solutions to enterprise clients.

📋 Description

• Backend development (50%) • Designing and developing cloud-native applications with Java/Kotlin and Spring Boot • Designing and implementing REST APIs for enterprise systems • Containerization and orchestration with Docker and Kubernetes/OpenShift • Building and optimizing CI/CD pipelines • Migration and modernization of existing backend systems • AI integration (50%) • Developing RAG systems (Retrieval-Augmented Generation) with LangChain/LangChain4J • Implementing MCP servers to integrate LLMs with existing APIs • Building agent-based architectures and agent-to-agent communication • Integrating vector databases and embedding technologies • MLOps: deploying and monitoring AI components in the cloud • Technical consulting for enterprise clients on AI integration projects • Making architecture decisions at the backend/AI interface • Further developing our internal standards and best practices

🎯 Requirements

• 5+ years of experience in backend development with Java/Kotlin • Solid knowledge of Spring Boot or Jakarta EE • Practical experience with Kubernetes and at least one cloud platform (AWS/Azure/GCP) • Hands-on experience with Docker and CI/CD tools (GitLab, Jenkins, GitHub Actions) • Practical experience with LLMs — whether a personal project, proof of concept, or production deployment • Understanding of RAG concepts or strong motivation to learn them quickly • German: business fluent • English: fluent

🏖️ Benefits

• Paid certification costs — AWS, Azure, GCP, Kubernetes: we cover the fees • Generous training budget for courses and conferences in the AI space • Access to leading AI communities and meetups (speaking opportunities welcome) • Free choice of tools and hardware — laptop and phone of your choice • Innovation lab for proofs of concept • Modern, well-equipped office with excellent transport links • Agile teams with short decision paths • Freedom to drive your own technical initiatives • Regular internal tech talks on AI trends • Time during working hours to write blogs and technical articles • Close collaboration within the team — we learn from each other